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All Journal Saintia Matematika ICMSA Sinkron : Jurnal dan Penelitian Teknik Informatika Abdimas Talenta : Jurnal Pengabdian Kepada Masyarakat MES: Journal of Mathematics Education and Science Journal of Research in Mathematics Trends and Technology Leibniz: Jurnal Matematika Algoritma: Jurnal Matematika, Ilmu Pengetahuan Alam, Kebumian dan Angkasa Konstanta : Jurnal Matematika dan Ilmu Pengelatuan Alam
Elly Rosmaini
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Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Decision Sciences, Operations Research & Management Earth & Planetary Sciences Immunology & microbiology Law, Crime, Criminology & Criminal Justice Mathematics Social Sciences

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Integration of AHP and Modified VIKOR Method to Select the Optimum Destination Route Simbolon, Miranda Melania Nathasia; Gultom, Parapat; Rosmaini, Elly
Sinkron : jurnal dan penelitian teknik informatika Vol. 8 No. 3 (2024): Research Artikel Volume 8 Issue 3, July 2024
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v8i3.13784

Abstract

One common approach to rating options is group decision making using many criteria. Here, we use the same criteria to evaluate each option. Sometimes, decision makers are faced with some situations where they have to choose from a set of alternatives that have several different criteria. Thus, the decision maker cannot use a common method. Therefore, in this research, a modification to a method is carried out. To address the issue of developing alternate routes to Medan City's historical tourism attractions, the AHP and VIKOR approaches have been suggested. When considering options with both specific and broad requirements, this study adapts the VIKOR technique to find a workable solution. In order to demonstrate the suggested model's use and evaluate the efficacy of this approach change, this study offers numerical examples based on case studies. The findings demonstrate that the revised approach is both practical and efficient.
A Mixed-Integer Programming Approach on Clustering Problems with Segmentation Application Customer Elviana, Arin; Rosmaini, Elly; Nababan, Esther Sorta Mauli
Sinkron : jurnal dan penelitian teknik informatika Vol. 8 No. 4 (2024): Article Research Volume 8 Issue 4, October 2024
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v8i4.14141

Abstract

As a marketing strategy, segmentation involves categorizing customers into specific groups based on their loyalty to a brand. This process is crucial in shaping an effective business strategy, as identifying various customer types enables businesses to target their marketing efforts more precisely. This research focuses on solving the cluster optimization problem by applying a combinatorial optimization approach to develop a cluster optimization method. The combinatorial optimization utilized here operates on a binary system, using 0s and 1s to identify the optimal cluster for each object. Specifically, a value of 1 indicates that an object is assigned to an optimal cluster, while a value of 0 signifies that the object belongs to a non-optimal cluster. By designating clusters with a value of 1, the method ensures that the best optimization value is achieved. The 0-1 non-linear problem model ensures that objects with the shortest distances between them are grouped in the same cluster. Additionally, the model guarantees that each object belongs to only one cluster and that, across k tests, every cluster contains at least one object. This model can also be used to determine the ideal number of clusters for a given dataset, ensuring optimal segmentation results for business applications.
KAJIAN METODE FUZZY TIME SERIES-CHEN DAN FUZZY TIME SERIES-MARKOV CHAIN DAN TERAPAN PADA PERAMALAN CURAH HUJAN Rahmadani, Rahmadani; Mardiningsih, Mardiningsih; Rosmaini, Elly; Nasution, Putri Khairiah
MES: Journal of Mathematics Education and Science Vol 10, No 1 (2024): Edisi Oktober
Publisher : Universitas Islam Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30743/mes.v10i1.9333

Abstract

Penelitian ini menggunakan metode Fuzzy Time Series-Chen dan Fuzzy Time Series-Markov Chain untuk mengkaji dan menerapkan kedua metode pada peramalan curah hujan di Kota Medan sehingga didapat keakuratan dari masing-masing metode. Fuzzy Time Series merupakan metode peramalan yang berdasarkan prinsip fuzzy. Peramalan pada metode ini yaitu dengan menggunakan pola data sebelumnya, kemudian pola tersebut dapat meramalkan data dimasa mendatang. Metode Fuzzy Time Series (FTS) merupakan pendekatan baru yang menggabungkan variabel linguistik dengan proses analisis sehingga diperoleh hasil kajian dan penerapan Fuzzy Time Series-Chen dan Fuzzy Time Series Markov-Chain untuk memprediksi curah hujan di Kota Medan pada Januari 2018- Oktober 2022 dilihat dari ketetapan nilai MAPE sangat akurat. Nilai MAPE dari hasil peramalan curah hujan di Kota Medan dengan menggunakan metode Fuzzy Time Series-Chen adalah sebesar % dan untuk peramalan satu bulan kedepan sebesar 264 mm di bulan November 2022 sedangkan Fuzzy Time Series Markov-Chain sebesar 1,01% dan prediksi bulan berikutnya sebesar 233 mm pada bulan November 2022. Perbandingan gambar Fuzzy Time Series-Chen memiliki (MAPE) lebih besar dibandingkan Fuzzy Time Series-Markov Chain dengan pola kesalahan pada tabelnya lebih besar. Berdasarkan kriteria MAPE, untuk Fuzzy Time Series-Chen dan Fuzzy Time Series-Markov Chain memenuhi akurasi peramalan akurat, karena tingkat MAPE-nya kurang dari 10%.
REGULARISASI REGRESI LINIER BERGANDA PADA DATA BERDIMENSI TINGGI UNTUK MENGATASI EFEK MULTIKOLINEARITAS Nasution, Muhammat Rayyan; Sutarman, S; Darnius, Open; Rosmaini, Elly
MES: Journal of Mathematics Education and Science Vol 10, No 1 (2024): Edisi Oktober
Publisher : Universitas Islam Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30743/mes.v10i1.9469

Abstract

Penelitian ini membahas model regresi linier berganda yang diberikan regularisasi dalam kasus data berdimensi tinggi (? ≫ ?), bertujuan untuk mengatasi efek multikolinearitas yang terdiri dari efek singularitas dan kualitas model yang buruk. Dalam penelitian ini mengembangkan model regresi linier berganda dengan menambahkan parameter penalti pada fungsi tujuan. Adapun data yang digunakan adalah data primer yang dibangkitkan dengan bahasa pemrograman python dengan tiga skenario sesuai dari penelitian sebelumnya. Metode yang digunakan yaitu Ordinary Least Squared (OLS), Least Absolute Shrinkage and Selection Operator (LASSO) dan Ridge dalam mengestimasi parameter model regresi. Mean Squared Error (MSE) digunakan sebagai metrik evaluasi kinerja model yang dibangun. Dari hasil simulasi yang dilakukan, diperoleh bahwa metode LASSO memberikan kualitas model terbaik dengan memberikan nilai MSE terendah dibandingkan model lainnya.
Penerapan Analisis Faktor dalam Menentukan Faktor-Faktor yang Mempengaruhi Keputusan Belanja Online Melalui Aplikasi Shopee (Studi Kasus: Mahasiswa Universitas Sumatera Utara) Bunga Sakinah; Elly Rosmaini; Muhammad Romi Syahputra; Mardiningsih Mardiningsih
Algoritma : Jurnal Matematika, Ilmu pengetahuan Alam, Kebumian dan Angkasa Vol. 2 No. 6 (2024): Algoritma : Jurnal Matematika, Ilmu pengetahuan Alam, Kebumian dan Angkasa
Publisher : Asosiasi Riset Ilmu Matematika dan Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62383/algoritma.v2i6.275

Abstract

Factor analysis is a statistical method aimed at exploring correlations or relationships among variables studied, which are then grouped into fewer new factors. Principal Component Analysis (PCA) is a statistical technique used to reduce the dimensions of data with the goal of identifying hidden patterns or significant structures within the data. The research results indicate the presence of 5 factors influencing the decision-making process in online shopping among students of the University of North Sumatra via Shopee, namely the Funding Application Factor (28.141%), Information Reputation Factor (13.983%), Communication Satisfaction Factor (7.452%), Types and Compensation Factor (6.683%), and Guarantees and Prices Factor (5.794%). These five factors obtained a cumulative variance of 62.051%, indicating that they influence online shopping decisions through Shopee among University of North Sumatra students by 62.051%.
METODE STRUCTURAL EQUATION MODELLING (SEM) UNTUK MENENTUKAN KELAYAKAN PENERIMA PROGRAM KELUARGA HARAPAN (PKH) KECAMATAN MEDAN BARAT Wogisfry, Darma; Pane, Rahmawati; Rosmaini, Elly; Syahmarani, Aghni
MES: Journal of Mathematics Education and Science Vol 10, No 2 (2025): Edisi April
Publisher : Universitas Islam Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30743/mes.v10i2.10257

Abstract

Structural Equation Modeling (SEM) is a statistical analysis method used to test the relationship between variables in a model. SEM can be used as a statistical technique that takes into account latent and manifest variables, so in this study the SEM method was used to determine the eligibility of PKH recipients in West Medan District. Poverty has become a serious problem that is increasingly being faced by several countries in the world, including Indonesia. The Indonesian government has implemented many programs to overcome poverty, one of which is the Family Hope Program (PKH). Based on the research results, it is known that there is a direct negative relationship (indicating that an increase in one variable tends to decrease another variable), namely the family economic variable on the eligibility of recipients of the Family Hope Program
Digitalisation Of Sukamandi Hulu Village Through The Creation Of An Information System Application Web-Based Population Data To Support The Concept Of Smart Government Rosmaini, Elly; Nasution, Putri Kahiriah; Zendrato, Niskarto; Putri, Mimmy Sari Syah
ABDIMAS TALENTA: Jurnal Pengabdian Kepada Masyarakat Vol. 8 No. 2 (2023): ABDIMAS TALENTA: Jurnal Pengabdian Kepada Masyarakat
Publisher : Talenta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/abdimastalenta.v8i2.14687

Abstract

The lack of effectiveness in the process of recording, searching and reporting population data using manual methods makes many obstacles in the activity. Population Registration is an activity routinely carried out by the government for science related to techniques, collection, recording, population data consisting of moving data, migrant data, birth data, death data. This Population Data Recording Application is designed in such a way as to facilitate data recording and report generation efficiently and effectively. This application is built with Flowchart notation, Data Flow Diagram, Entity Relationship Diagram and programming is PHP and MySql as DBMS, with engineering development methods and system modelling, needs analysis, design, coding, testing and maintenance. The Population Data Recording Application has several advantages, including being able to display the number of residents in Sukamandi Hulu Village from each month.
Analisis Faktor-faktor yang Mempengaruhi Tingkat Kemiskinan di Sumatera Utara Menggunakan Structural Equation Modeling Yessica Thania Silaban; Elly Rosmaini; Open Darnius; Asima Manurung
Konstanta : Jurnal Matematika dan Ilmu Pengetahuan Alam Vol. 2 No. 2 (2024): Juni : Jurnal Matematika dan Ilmu Pengetahuan Alam
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59581/konstanta.v2i2.3220

Abstract

Poverty is a fundamental problem that is the center of attention of the government in any country. The aim of this research is to analyze the influence of education, unemployment, the Covid-19 pandemic and the human development index on poverty in North Sumatra. The data used in this research is secondary data based on time series available on the official website of the Central Statistics Agency in North Sumatra. This research data processing uses the help of SmartPLS 3 software. The research analysis used in this research is Structural Equation Modeling which shows that the variables education, unemployment, the Covid 19 pandemic and the human development index are exogenous variables and poverty is an endogenous variable. The research results obtained an R-Square value of 0.511 or 51.1%. The large value of the coefficient of determination shows that the independent variables consisting of education, unemployment, the Covid-19 pandemic and the human development index are able to explain the dependent variable, namely the poverty percentage of 51.1%. Meanwhile, the remaining 48.9% is explained by other variables not included in this research model. The human development index variable has a negative and significant effect on poverty of 0.678. For the Covid 19 Pandemic variable, it has a negative and significant effect on poverty of 0.267.
Probability Distribution of Rainfall in Medan Elly Rosmaini; Yoni Yolanda Saphira
Journal of Research in Mathematics Trends and Technology Vol. 1 No. 2 (2019): Journal of Research in Mathematics Trends and Technology (JoRMTT)
Publisher : Talenta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/jormtt.v1i2.2835

Abstract

In this paper we chose three stations in Medan City , Indonesia to estimate Monthly Rainfall Data i.e. Tuntungan, Tanjung Selamat, and Medan Selayang Stations. We took the data from 2007 to 2016. In this case fitted with Normal, Gamma, and Lognormal Distributions. To estimate parameters, we used this method. Furthermore, Kolmogorov-Smirnov and Anderson Darling tests were used the goodness-of-fit test. The Gamma and Normal Distributions is suitable for Tuntungan and Medan Selayang Stations were stated by Kolmogorov-Smirnov's test. Anderson Darling's test stated that Gamma Distribution was suitable for all stations.
Monte Carlo Simulation Approach to Determine the Optimal Solution of Probabilistic Supply Cost Ramadan, Helmi; Gio, Prana Ugiana; Elly Rosmaini
Journal of Research in Mathematics Trends and Technology Vol. 2 No. 1 (2020): Journal of Research in Mathematics Trends and Technology (JoRMTT)
Publisher : Talenta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/jormtt.v2i1.3752

Abstract

Monte Carlo simulation is a probabilistic simulation where the solution of problem is given based on random process. The random process involves a probabilitydistribution from data variable collected based on historical data. The used model is probabilistic Economic Order Quantity Model (EOQ). This model then assumed use Monte Carlo simulation, so that obtained the total of optimal supply cost in the future. Based on data processing, the result of probabilistic EOQ is $486128,19. After simulation using Monte Carlo simulation where the demand data follows normal distribution and it is obtained the total of supply cost is $46116,05 in 23 months later. Whereas the demand data uses Weibull distribution is obtained the total of supply stock is $482301,76. So that, Monte Carlo simulation can calculate the total of optimal supply in the future based on historical demand data.
Co-Authors Abdul Munif Aghni Syahmarani Agus Salim Harahap Asima Manurung Azhari, Agnes Hilza Yolanda Bunga Sakinah Charles Simamora Djakaria Sebayang Elviana, Arin Erlina Erlina Eva Kristina Tarigan Faigiziduhu Bu'ulolo Faradhika Arwindy Gio, Prana Ugiana Henry Rani Sitepu Herman Mawengkang Mardiningsih Mardiningsih Martha Lia Palentina Nababan, Esther Sorta Mauli Nasution, Muhammat Rayyan Nasution, Putri Kahiriah Nasution, Putri Khairiah Niskarto Zendrato Open Darnius Pane, Rahmawati Parapat Gultom Putri, Mimmy Sari Syah Rahmadani Rahmadani Ramadan, Helmi Resti, Lady Ichwana Rizka Fitria, Rizka Rosman Siregar Saib Suwilo Simbolon, Miranda Melania Nathasia Siregar, Ariel Saron Sutarman, S Syahputra, Muhammad Romi Wogisfry, Darma Yessica Thania Silaban Yoni Yolanda Saphira Zahedi